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Understanding the Solvation Structure of Li-Ion Battery Electrolytes Using DFT-Based Computation and (1)H NMR Spectroscopy
[Image: see text] Molecular dynamics (MD) simulations, density functional theory (DFT) calculations, and (1)H NMR spectroscopy were performed to gain a complementary understanding of the concentrated Li-ion electrolyte system, lithium bis(trifluoromethanesulfonyl)imide (Li[TFSI]) dissolved in tetrag...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Chemical Society
2022
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9720717/ https://www.ncbi.nlm.nih.gov/pubmed/36383474 http://dx.doi.org/10.1021/acs.jpcb.2c06415 |
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author | Im, Julia Halat, David M. Fang, Chao Hickson, Darby T. Wang, Rui Balsara, Nitash P. Reimer, Jeffrey A. |
author_facet | Im, Julia Halat, David M. Fang, Chao Hickson, Darby T. Wang, Rui Balsara, Nitash P. Reimer, Jeffrey A. |
author_sort | Im, Julia |
collection | PubMed |
description | [Image: see text] Molecular dynamics (MD) simulations, density functional theory (DFT) calculations, and (1)H NMR spectroscopy were performed to gain a complementary understanding of the concentrated Li-ion electrolyte system, lithium bis(trifluoromethanesulfonyl)imide (Li[TFSI]) dissolved in tetraglyme. The computational methods provided the concentration dependence of differing solvation structure motifs by reference to changes in the corresponding NMR spectra. By combining both the computational and experimental methodologies, we show that the various solvation structures, dominated by the coordination between the tetraglyme (G4) solvent and lithium cation, directly influence the chemical shift separation of resonances in the (1)H NMR spectra of the solvent. Thus, the (1)H NMR spectra can be used to predict the fraction of tetraglyme involved in the solvation process, with quantitative agreement with solvation fraction predictions from MD simulation snapshots. Overall, our results demonstrate the reliability of a hybrid computational and experimental methodology to understand the solvation structure and hence transport mechanism of LiTFSI-G4 electrolytes in the low concentration region. |
format | Online Article Text |
id | pubmed-9720717 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | American Chemical Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-97207172022-12-06 Understanding the Solvation Structure of Li-Ion Battery Electrolytes Using DFT-Based Computation and (1)H NMR Spectroscopy Im, Julia Halat, David M. Fang, Chao Hickson, Darby T. Wang, Rui Balsara, Nitash P. Reimer, Jeffrey A. J Phys Chem B [Image: see text] Molecular dynamics (MD) simulations, density functional theory (DFT) calculations, and (1)H NMR spectroscopy were performed to gain a complementary understanding of the concentrated Li-ion electrolyte system, lithium bis(trifluoromethanesulfonyl)imide (Li[TFSI]) dissolved in tetraglyme. The computational methods provided the concentration dependence of differing solvation structure motifs by reference to changes in the corresponding NMR spectra. By combining both the computational and experimental methodologies, we show that the various solvation structures, dominated by the coordination between the tetraglyme (G4) solvent and lithium cation, directly influence the chemical shift separation of resonances in the (1)H NMR spectra of the solvent. Thus, the (1)H NMR spectra can be used to predict the fraction of tetraglyme involved in the solvation process, with quantitative agreement with solvation fraction predictions from MD simulation snapshots. Overall, our results demonstrate the reliability of a hybrid computational and experimental methodology to understand the solvation structure and hence transport mechanism of LiTFSI-G4 electrolytes in the low concentration region. American Chemical Society 2022-11-16 2022-12-01 /pmc/articles/PMC9720717/ /pubmed/36383474 http://dx.doi.org/10.1021/acs.jpcb.2c06415 Text en © 2022 The Authors. Published by American Chemical Society https://creativecommons.org/licenses/by/4.0/Permits the broadest form of re-use including for commercial purposes, provided that author attribution and integrity are maintained (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Im, Julia Halat, David M. Fang, Chao Hickson, Darby T. Wang, Rui Balsara, Nitash P. Reimer, Jeffrey A. Understanding the Solvation Structure of Li-Ion Battery Electrolytes Using DFT-Based Computation and (1)H NMR Spectroscopy |
title | Understanding the
Solvation Structure of Li-Ion Battery
Electrolytes Using DFT-Based Computation and (1)H NMR Spectroscopy |
title_full | Understanding the
Solvation Structure of Li-Ion Battery
Electrolytes Using DFT-Based Computation and (1)H NMR Spectroscopy |
title_fullStr | Understanding the
Solvation Structure of Li-Ion Battery
Electrolytes Using DFT-Based Computation and (1)H NMR Spectroscopy |
title_full_unstemmed | Understanding the
Solvation Structure of Li-Ion Battery
Electrolytes Using DFT-Based Computation and (1)H NMR Spectroscopy |
title_short | Understanding the
Solvation Structure of Li-Ion Battery
Electrolytes Using DFT-Based Computation and (1)H NMR Spectroscopy |
title_sort | understanding the
solvation structure of li-ion battery
electrolytes using dft-based computation and (1)h nmr spectroscopy |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9720717/ https://www.ncbi.nlm.nih.gov/pubmed/36383474 http://dx.doi.org/10.1021/acs.jpcb.2c06415 |
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